class Application(tk.Frame):
def __init__(self, master=None):
tk.Frame.__init__(self, master)
self.grid()
self.create_widgets()
def create_widgets(self):
self.charts = Charts(self)
self.charts.grid(row=0)
self.sliders = Sliders(self)
self.sliders.grid(row=1)
self.quit_btn = tk.Button(self, text="OK", command=self.quit)
self.quit_btn.grid(row=2, columnspan=2)
def on_slider_value_changed(self, base, extra, accA, accB):
total_exp_list = get_total_exp_list(from_=1,
to_=99,
base_value=base,
extra_value=extra,
acceleration_A=accA,
acceleration_B=accB)
exp_per_lvl_list = get_exp_for_next_level_list(from_=1,
to_=99,
base_value=base,
extra_value=extra,
acceleration_A=accA,
acceleration_B=accB)
self.charts.on_slider_value_changed(total_exp_list, exp_per_lvl_list)
def create_widgets(self):
self.charts = Charts(self)
self.charts.grid(row=0)
self.sliders = Sliders(self)
self.sliders.grid(row=1)
self.quit_btn = tk.Button(self, text="OK", command=self.quit)
self.quit_btn.grid(row=2, columnspan=2)
def histogram_browsers_a(self):
"""
Creates a histogram of visitors from different browsers but without formatting the browser name
"""
# Get the occurrences of a browser in the form of a dictionary
df_dictionary = self._count_occurrences(self.df["visitor_useragent"])
# Plot the data
Charts(df_dictionary, "No. of visitors by browsers (Verbose)",
"Browsers", "Visitors").plot_histogram()
def histogram_browsers_b(self):
"""
Creates a histogram of visitors from different browsers
"""
# Filter the dataset for using only the browser column into a series.
sorted_df = self.df["visitor_useragent"].str.split("/").str[0]
# Get the occurrences of a browser in the form of a dictionary
df_dictionary = self._count_occurrences(sorted_df)
# Plot the data
Charts(df_dictionary, "No. of visitors by browsers (Formatted)",
"Browsers", "Visitors").plot_histogram()
def histogram_country(self, doc_id: str):
"""
Creates a histogram of visitors from different countries for a given document UUID
:param doc_id: The input document
"""
# Filter data to get rows only where the value of doc_id in the column exists into a series object.
sorted_df = self.df[self.df["subject_doc_id"] ==
doc_id].loc[:, ["visitor_country"]]
# Get the number of occurrences for a country for the series object in the form of a dictionary
df_dictionary = self._count_occurrences(sorted_df)
# Plot the data
Charts(df_dictionary, "No. of visitors by country", "Countries",
"Visitors").plot_histogram()
def histogram_continent(self, doc_id: str):
"""
Creates a histogram of visitors from different continents for a given document UUID.
:param doc_id: The input document
"""
# Filter data to get rows only where the value of doc_id in the column exists.
sorted_df = self.df[self.df["subject_doc_id"] ==
doc_id].loc[:, ["visitor_country"]]
# A series object that contains the continents for that country by mapping the country value
# to the continent value
sorted_df = sorted_df["visitor_country"].apply(
lambda x: self.CONTINENTS_MAP.get(x))
# Get the occurrences of a continents in the form of a dictionary
df_dictionary = self._count_occurrences(sorted_df)
# # Plot the data
Charts(df_dictionary, "No. of visitors by continent", "Continents",
"Visitors").plot_histogram()
def display_page(pathname):
if pathname == '/download':
return Download()
elif pathname == '/table':
return Table()
elif pathname == '/app':
return App()
elif pathname == '/apka':
return Apka(r, t, df1)
elif pathname == '/charts':
return Charts(r, t, df1)
elif pathname == '/calc':
return Calc(r, t, df1)
elif pathname == '/report':
return Report(r, t, df1)
elif pathname == '/send':
return Send(r, t)
else:
return Home()